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Tal El-Hay
Tal El-Hay
Researcher, KI Research Institute
Bestätigte E-Mail-Adresse bei kinstitute.org.il
Titel
Zitiert von
Zitiert von
Jahr
Global epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort study.
The Lancet infectious diseases 16 (5), 565-575, 2016
2772016
How the weather affects the pain of citizen scientists using a smartphone app
WG Dixon, AL Beukenhorst, BB Yimer, L Cook, A Gasparrini, T El-Hay, ...
NPJ digital medicine 2 (1), 105, 2019
622019
Gibbs sampling in factorized continuous-time Markov processes
T El-Hay, N Friedman, R Kupferman
arXiv preprint arXiv:1206.3251, 2012
562012
Mean field variational approximation for continuous-time Bayesian networks
I Cohn, T El-Hay, N Friedman, R Kupferman
The Journal of Machine Learning Research 11, 2745-2783, 2010
512010
Paradoxical Hypersusceptibility of Drug-resistant Mycobacteriumtuberculosis to β-lactam Antibiotics
KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ...
EBioMedicine 9, 170-179, 2016
472016
Mean field variational approximation for continuous-time Bayesian networks
I Cohn, T El-Hay, N Friedman, R Kupferman
arXiv preprint arXiv:1205.2655, 2012
372012
Continuous-Time Belief Propagation.
T El-Hay, I Cohn, N Friedman, R Kupferman
ICML, 343-350, 2010
312010
Continuous time markov networks
T El-Hay, N Friedman, D Koller, R Kupferman
arXiv preprint arXiv:1206.6838, 2012
252012
Adversarial balancing for causal inference
M Ozery-Flato, P Thodoroff, M Ninio, M Rosen-Zvi, T El-Hay
arXiv preprint arXiv:1810.07406, 2018
232018
Integrated multisystem analysis in a mental health and criminal justice ecosystem
E Falconer, T El-Hay, D Alevras, JP Docherty, C Yanover, A Kalton, ...
Health & Justice 5, 1-8, 2017
152017
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome
M Ozery-Flato, N Parush, T El-Hay, Ž Visockienė, L Ryliškytė, J Badarienė, ...
Diabetology & metabolic syndrome 5, 1-9, 2013
152013
Progress in characterizing the human exposome: a key step for precision medicine
F Martin-Sanchez, R Bellazzi, V Casella, W Dixon, G Lopez-Campos, ...
Yearbook of medical informatics 29 (01), 115-120, 2020
132020
Incorporating expressive graphical models in variational approximations: Chain-graphs and hidden variables
T El-Hay, N Friedman
arXiv preprint arXiv:1301.2268, 2013
102013
Dynamic ranges for viterbi calculations
I Bartur, A Globerson, T El-Hay, T Yadid
US Patent App. 10/650,040, 2005
102005
Paradoxical hypersusceptibility of drug-resistant Mycobacterium tuberculosis to beta-lactam antibiotics. EBioMedicine 9: 170–179
KA Cohen, T El-Hay, KL Wyres, O Weissbrod, V Munsamy, C Yanover, ...
82016
How the weather affects the pain of citizen scientists using a smartphone app. npj Digit Med. 2019
WG Dixon, AL Beukenhorst, BB Yimer, L Cook, A Gasparrini, T El-Hay
7
Machine learning for improving high‐dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature
R Wyss, C Yanover, T El‐Hay, D Bennett, RW Platt, AR Zullo, G Sari, ...
Pharmacoepidemiology and Drug Safety 31 (9), 932-943, 2022
62022
Characterizing subpopulations by exposure response
RY Aharonov, T El-Hay, M Flato, Y Goldschmidt, NP Shear-Yashuv, ...
US Patent App. 14/953,514, 2017
42017
Characterizing Subpopulations with Better Response to Treatment Using Observational Data–an Epilepsy Case Study
M Ozery-Flato, T El-Hay, R Aharonov, N Parush-Shear-Yashuv, ...
bioRxiv, 290585, 2018
32018
Structured proportional jump processes
T El-Hay, O Weissbrod, E Eban, M Zazzi, F Incardona
Proceedings of the Thirtieth Conference on Uncertainty in Artificial …, 2014
32014
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